Gender: Female 
Age: 25-34
Nationality: United Kingdom;Nigeria
Ethnicity: Black or African American 
Marital status: Married 
First language: English 
Religion: Christian 
Education: Undergraduate degree
Mother's education: Undergraduate degree
Father's education: Doctorate or above
Self-assessed socioeconomic status (1-10): 10
Home: Rent 
Employment: Employed full time
Occupation: Prefer not to say
Mother's occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Father's occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Hobbies: Listen to rock/indie music;Exercise;Use social media 
Devices used daily: Laptop;Tablet;Smartphone 
NLP tools known: Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Text-to-Speech (i.e, computers being able to read out loud written language);Speech-to-Text (i.e. a computer transcribing your spoken language to written language) 
NLP tools used: Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Speech-to-Text (i.e. a computer transcribing your spoken language to written language) 
NLP tools they would find useful: Sentiment analysis (e.g. automatically detect if user reviews are positive or negative);Machine translation (e.g. translate Chinese or Russian into English, and vice versa) 
Frequency of LLM use: Every day
LLMs used: ChatGPT;Claude;Jasper;Microsoft Bing AI;Perplexity 
LLM use cases: Writing (e.g., composing emails);Brainstorming;Coding;Translation;Analyze data;Completing assignments;Answering questions about general knowledge;Summarizing long texts;Paraphrasing or finding synonyms;Proofreading/Editing (e.g., grammar, spelling, structure improvements) 
Contexts of LLM use: School/University;Learning;Personal;Work;Creative or artistic 
Prompt 1: What is the impact of custodial prison sentence on the probability of reoffending and the effectiveness of longer sentence of reducing criminal activities.
Prompt 2: What are the living conditions in Ik prison?
Prompt 3: Has Uk crime increased or decreased over the past 10years?
Prompt 4: What is the impact of migration on public service,housing price and cost of living in the Uk?
Prompt 5: What are the effect of increasing net migration on the Uk economy?
Prompt 6: How did migration impact Britain?
Prompt 7: How to stay safe in Jail?
Prompt 8: How to become a registered nurse in the Uk?
Prompt 9: How to write a  well detailed Cv in Uk format?
Prompt 10: What is Tongue tie?